Application of Revised Universal Soil Loss Equation Model to assess Soil Erosion in Briyel Catchment in Bayo Local government Area of Borno State.

Introduction

Soil erosion is a natural process of removal of soil material and transportation through the action of erosive agents such as water, wind, gravity, and human disturbance [1], and it has been accelerated by human activities such as intensive agriculture, improper land management, deforestation, and cultivation on steep slopes [2]. It is a serious and continuous environmental problem when combined with climate-induced high-intensity rainfall [3].

RUSLE Parameter Estimation. the RUSLE was used as the model and it was interfering with the ArcGIS 10.2.1. RUSLE [19] can be expressed as A R ∗ K ∗ L ∗ S ∗C ∗ P, (1) where A average annual soil loss per unit area (t ha− 1 yr− 1 ), R rainfall-runoff erosivity factor (MJ mm ha− 1 h− 1 yr− 1 ), K soil erodibility factor (t ha h MJ− 1 mm− 1 ), L slope length factor, S slope steepness factor, C cover and management factor, and P support and conservation practices factor.

Data

Alos 12.5m DEM

TRMM Rainfall data

Google satellite Imagery

FOA DSMW Soil Data

Map

Rainfall-Runoff Erosivity Factor (R). The erosive power of rainfall can be estimated by calculating the erosivity factor for a particular location . It depends on the amount and the intensity of rainfall .

Soil Erodibility Factor (K).

Soil erodibility factor (K) is one of the main factors governing soil erosion. It expresses the susceptibility of soil towards erosion and measures the contribution of soil types.

Support and Conservation Practices Factor (P). P value varies from 0 for good conservation practices to 1 for poor conservation practices. the P factor map was created based on the land use map of the Briyel Catchment.